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Vitis AI Documentation

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Vitis AI Documentation Hub 6.2 documentation

Release Notes

Release Notes

Quick Start

System Requirements
Software Setup
Board Setup
OSPI and SD Card Boot Flow
Run Your First Inference

Model Development Flow

Docker Setup
AMD Vitis™ AI Flow Overview

Model Quantization

Model Quantization
Converting Float32 Models to FP16

Model Compilation

Model Compilation
Compiled Model Output
AMD Vitis™ AI EP Options
AMD Vitis™ AI EP Configuration File

Model Execution

Running the Compiled Model
ONNX Runtime Python Inference

Profiling, Analysis, and Debug

AI Analyzer
Partitioning
NPU insights
Performance
DDR Throughput Profiling
XRT-SMI Utility

ONNX Runtime

ONNX Runtime C++ APIs

Vitis AI Runtime (VART)

Vitis AI Runtime (VART) Overview
Introduction: VART X and VART ML
VART ML Architecture Overview
VART X Architecture Overview
VART Application Development
Reference Applications
Debugging VART Based Apps
Tensor Format Conversions
Post Processing Functions
Quantization Parameters for VART Applications
VART X APIs
VART ML APIs

Advanced Compilation Techniques

Mixed Precision Compilation
Model Accuracy Validation Methodology
Data Parallelism and Tensor Parallelism
CPU Partition Compilation

Advanced Runtime Techniques

Zero-Copy Inference
Asynchronous Inference Execution
Multi-Tenancy: Spatial and Temporal Sharing

Integrated System Design

Vitis AI System-Level Flow Overview
Reference Design Overview
Build the Reference Design
Customize the Reference Design
Pre-processing PL Kernel

System Bandwidth and Latency Optimization

Configuring NoC Connectivity for Model Deployments

Additional Information

Changelog
OSPI and SD Card Boot Flow - Manual Steps Reference
OSPI and SD Card Boot Flow - Detailed Reference
OSPI + UFS Boot Flow
Obtaining License
Docker Run Command with Floating License
Supported Models
ONNX Operators

FAQ

Frequently Asked Questions

References

References

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Last updated on April 29, 2026.

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